Thank you very much for answering me. Can you please answer the d, e, f & g sub parts. 6. In an accelerated life test, units are operated under extreme conditions unit failure. In one such test, 12motors were operated under high temperature conditions. The ambient temperature (in ?) and lifetimes (in hours) are presented in the following table. Temperature     Lifetime     40                      851     45                      635     50                      764     55                      708     60                      469     65                      661     70                      586     75                      371     80                      337     85                      245     90                      129     95                      158 a. Construct a scatterplot of lifetime (?) versus temperature (?). Verify that a linear model is appropriate. b. Compute the least-squares line for predicting lifetime from temperature. c. Compute the fitted values and the residual for each point. d. If the temperature is increased by 50? by how much would you predict the lifetime to increase or decrease? e. Predict the lifetime for a temperature of 730?. f. Should the least-squares line be used to predict the lifetime for a temperature of 1200?? If so, predict the lifetime. If not, explain why not. g. For what temperature would you predict a lifetime of 500 hours.

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Thank you very much for answering me. Can you please answer the d, e, f & g sub parts.

6. In an accelerated life test, units are operated under extreme conditions unit failure. In one such test, 12motors were operated under high temperature conditions. The ambient temperature (in ?) and lifetimes (in hours) are presented in the following table.


Temperature     Lifetime
    40                      851
    45                      635
    50                      764
    55                      708
    60                      469
    65                      661
    70                      586
    75                      371
    80                      337
    85                      245
    90                      129
    95                      158


a. Construct a scatterplot of lifetime (?) versus temperature (?). Verify that a linear model is appropriate.
b. Compute the least-squares line for predicting lifetime from temperature.
c. Compute the fitted values and the residual for each point.
d. If the temperature is increased by 50? by how much would you predict the lifetime to increase or decrease?
e. Predict the lifetime for a temperature of 730?.
f. Should the least-squares line be used to predict the lifetime for a temperature of 1200?? If so, predict the lifetime. If not, explain why not.
g. For what temperature would you predict a lifetime of 500 hours.

 
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